scholarly journals Spatial Econometric Analysis of China’s Sports Capital Market

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xu Chen ◽  
Qiying Zhu
Keyword(s):  
Capital Market ◽  
Listed Companies ◽  
Vital Role ◽  
Econometric Analysis ◽  
Spatial Econometric ◽  
Efficient Operation ◽  
Healthy Development ◽  
Sports Industry ◽  
Spatial Econometric Analysis ◽  
The Capital Market

The capital market provides important capital factor guarantee and supply-side support for the high-quality development of the sports industry, and the healthy development of the sports capital market, which is composed of securities market, loan market, trading derivative market, and physical market, plays a vital role in ensuring the smooth and efficient operation of the sports market economy mechanism. At the present stage, how to play the role of resource allocation in China’s sports capital market and how to improve the quality and efficiency of the sports industry by the capital market have become the core issue of research and discussion. Taking A-share listed companies as the typical micro-market subjects, this paper analyzes the financing needs and behaviors of sports listed companies and the support degree of different types of capital markets; on the basis of traditional measurement methods, spatial econometric analysis is used to explore the effectiveness of capital market on the development of the sports industry.

scholarly journals Evaluation and Influencing Factors of Industrial Pollution in Jilin Restricted Development Zone: A Spatial Econometric Analysis

2021 ◽  
Vol 13 (8) ◽  
pp. 4194
Author(s):  
Yanhua Guo ◽  
Lianjun Tong ◽  
Lin Mei
Keyword(s):  
Influencing Factors ◽  
Industrial Pollution ◽  
Production Capacity ◽  
Pollution Index ◽  
Green Technology ◽  
Econometric Analysis ◽  
Ecological Civilization ◽  
Entropy Weight ◽  
Spatial Econometric ◽  
Spatial Econometric Analysis

Winning the battle against pollution and strengthening ecological protection in all respects are vital for promoting green development and building a moderately prosperous ecological civilization in China. Using the entropy weight method, this paper establishes and evaluates a comprehensive industrial pollution index that contains and synthesizes six major industrial pollutants (wastewater, COD, waste gas, SO2, NOx, and solid waste) in the 2006–2015 period. Subsequently, this paper studies the spatiotemporal characteristics and influencing factors of industrial pollution via the Moran index and spatial econometric analysis. The empirical results indicate that (1) the temporal evolution of the industrial pollution index is characterized by an overall trend of first decreasing and then increasing. (2) The industrial pollution index of each county has certain geographical disparities and significant spatially polarized characteristics in 2006, 2009, 2012, and 2015. (3) The Moran test shows that there is a relatively significant spatial autocorrelation of the industrial pollution index among counties and that the geographical distribution of the industrial pollution index tends to show clustering. (4) Spatial regression models that incorporate spatial factors better explain the influencing factors of industrial pollution. The economic development level, technological progress, and industrialization are negatively correlated with industrial pollution, while population density and industrial production capacity are positively correlated. (5) Consequently, as relevant policy recommendations, this paper proposes that environmental cooperation linkage mechanisms, environmental protection credit systems, and green technology innovation systems should be established in different geographical locations to achieve the goals of green county construction and sustainable development.

Sign in / Sign up

Export Citation Format

Share Document